Senior Data Scientist

Eastbourne Digifest
Bexhill, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Business Analytics Applications Microsoft Azure Fraud Prevention and Detection Python (Programming Language) Machine Learning Standard Sql Azure Machine Learning Git

Job description

  • Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics.
  • Creating and maintaining analytical tools that improve portfolio management and commercial performance.
  • Identifying, evaluating, and extracting value from new internal and external data sources.
  • Engineering new features and rating factors to enhance existing pricing algorithms.
  • Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities.
  • Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into impactful solutions.
  • Exploring emerging machine learning techniques and assessing their commercial application.

Requirements

  • Strong commercial experience delivering machine learning projects from initial exploration through to deployment and ongoing optimisation.
  • Advanced Python and SQL skills.
  • Experience with Azure Machine Learning, Azure cloud technologies, and Git.
  • Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making.
  • Experience working across multidisciplinary data and analytics teams.
  • Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions.
  • An interest in applying innovative data science techniques to real-world business challenges.

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Good distractions

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Balancing data science skillings alongside systems engineering rigor

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